# Stable H-bond networks are crucial for selective CLK1 inhibition: a computational perspective

**Authors:** Yuzhou Huang, Baichun Hu, Haihan Liu, Jian Wang, Na Duan

PMC · DOI: 10.3389/fchem.2025.1582515 · 2025-06-17

## TL;DR

This paper uses computational methods to understand how CLK1 inhibitors can be selective, which could help in developing better cancer treatments.

## Contribution

The study identifies key molecular interactions and structural differences that enable selective CLK1 inhibition over CLK3.

## Key findings

- Computational simulations reveal key roles of protein-ligand interactions in CLK1/3 inhibitor selectivity.
- Conformational differences in amino acid residues contribute to CLK1 inhibitor specificity.
- Binding free energy calculations and molecular dynamics simulations highlight distinct binding modes for CLK1 and CLK3.

## Abstract

Studying the selectivity mechanism of inhibitors towards highly similar isoforms is an important task in the development of new drugs, which are designed to avoid the undesired side effects in vivo. CDC-like kinase isoforms (CLKs) are serine/threonine protein kinases that are involved in the phosphorylation of mRNA spliceosomes leading to the regulation of gene expression. The CLK isoforms are expressed in most human tissues and cells, but the expression levels of each isoform vary in different cells. Typically, CLK3 is expressed in male testes and sperm, by contrast, as a potential cancer treatment target, the expression level of CLK1 in testicular tissue is significantly lower than other isoforms. These differences in the tissue distribution of CLK1 and CLK3 suggest that the development of selective CLK1 inhibitors to avoid potential side effects. Here, our study is designed to reveal the selectivity mechanism of CLK1 inhibition from a computational perspective. In this study, the binding modes of known selective inhibitors towards CLK1/3 are discussed by computational methods such as protein comparison, molecular docking, binding free energy calculation, molecular dynamics simulations, alanine mutagenesis simulations, and quantum mechanical calculation. The simulations reveal selective key roles involved in CLK1/3 binding, including protein-ligand interactions, mutations, and conformational differences in key amino acid residues. This study will contribute to analyze the selectivity mechanism of CLKs inhibitors and bring insight into the development of novel selective inhibitor drugs.

## Linked entities

- **Genes:** CLK1 (CDC like kinase 1) [NCBI Gene 1195], CLK3 (CDC like kinase 3) [NCBI Gene 1198]
- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Genes:** CLK1 (CDC like kinase 1) [NCBI Gene 1195] {aka CLK, CLK/STY, STY}, CLK3 (CDC like kinase 3) [NCBI Gene 1198] {aka PHCLK3, PHCLK3/152}
- **Diseases:** cancer (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

16 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12209269/full.md

---
Source: https://tomesphere.com/paper/PMC12209269